Evidence map›Paper›PMID 32643531›Full record

ArticlemAbs

An evaluation of instrument types for mass spectrometry-based multi-attribute analysis of biotherapeutics.

Zhongqi Zhang, Pik K Chan, Jason Richardson, Bhavana Shah

Abstract readEvaluation StudyVideo-Audio Media
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
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  11. Development of a comprehensive approach for performance evaluation of a quantitative multi-attribute method as a quality control method.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2022
    Article
  12. Article
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhongqi ZhangProcess Development, Amgen, Inc ., Thousand Oaks, CA, USA.ORCID 0000-0002-8326-6714
Pik K ChanProcess Development, Amgen, Inc ., Thousand Oaks, CA, USA.
Jason RichardsonProcess Development, Amgen, Inc ., Thousand Oaks, CA, USA.ORCID 0000-0003-2448-8963
Bhavana ShahProcess Development, Amgen, Inc ., Thousand Oaks, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-attribute methods (MAM), based on proteolytic digestion followed by liquid chromatography-mass spectrometry analysis of proteolytic peptides, have gained substantial attention in the biopharmaceutical industry for quantifying a variety of quality attributes for therapeutic proteins. Most MAM developed so far have been based on high-resolution mass spectrometers, due to their superb resolving power to distinguish analyte signals from interferences. Lower-resolution instruments, if demonstrated suitable, may further promote the adoption of the technology due to their low cost, small footprint, and ease of use. In this work, we compared the performance of a high-resolution instrument with a few low-resolution quadrupole-type instruments in quantifying a diverse set of quality attributes in a monoclonal antibody product. Different modes of operation for the quadrupole instruments, including scan mode, selected-ion monitoring and multiple-reaction monitoring, were evaluated. The high-resolution instrument has superb performance, with a quantitation limit of 0.002%. Single-quadrupole instruments in scan mode, on the other hand, provide a quantitation limit of about 1%, which may be fit-for-purpose for many routine MAM applications.

Indexed as

Mass SpectrometryAntibodies, MonoclonalChromatography, LiquidPeptidesAntibodies, MonoclonalPeptideslimit of quantitationmass spectrometryMulti-attribute methodorbitrapquality attributessingle quadrupoletriple quadrupole

Identifiers

PMID32643531
PMCPMC7531562

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.